The National Payments Corporation of India (NPCI) is a pivotal institution in India's digital payments ecosystem, established by the Reserve Bank of India (RBI) and the Indian Banks Association (IBA). It operates under the Payment and Settlement Systems Act, 2007, and is incorporated as a Not for Profit company under Section 25 of the Companies Act 1956 (now Section 8 of the Companies Act 2013). NPCI is dedicated to building world-class digital payment infrastructure through innovative and efficient retail payment platforms.

The Opportunity :

The role provides data-driven insight and decision support to the product, growth and commercial teams responsible for NPCI flagship payment products (RuPay, UPI, Acceptance, NETC) and is accountable for converting portfolio data into clear actions that improve growth, retention and profitability.

Key Responsibilities :

- Data Assets : Build and maintain reusable, well-documented data assets for NPCI flagship payment products for consumption across analytics, product, risk and commercial teams.

- Standards & Governance : Establish common metric definitions, documentation and data-quality standards for analytical outputs and shared assets.

- Portfolio Insight & Action : Own end-to-end analytics for flagship payment products. Track portfolio health across activation, spend, usage and attrition, identify drivers of performance, and translate findings into specific, prioritized actions.

- Design and operationalize customer-level and merchant-level segmentation using behavioral and transactional signals. Build models for propensity, attrition and cross-sell.

- Support offer and campaign creation with data-driven hypotheses. Optimize product pricing and economics by modelling unit economics, elasticity and portfolio-level impact.

- Partner with product, growth and commercial teams to embed analytics into decision-making.

Required Skills :

- Portfolio and product analytics.

- Customer and merchant segmentation.

- Propensity, attrition and cross-sell modelling.

- Pricing and unit-economics analysis.

- Strong statistical and data-handling skills (SQL, Python / SAS).

- B.Tech / B.E. or Bachelor's degree in a quantitative discipline, plus a management degree; OR a 5-year integrated M.Tech.

- Candidates should be from IIT / NIT or a similar reputed institution.

- 3 - 15 years of relevant experience, preferably in payments analytics, telecom analytics or digital analytics.

- Portfolio and product analytics

- Customer and merchant segmentation

- Propensity, attrition and cross-sell modelling

- Pricing and unit-economics analysis

- Offer design and incrementality measurement

- Building and governing reusable data assets

- Strong statistical and data-handling skills (SQL, Python / SAS)